Matei David
Senior Vice President at Citi
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolMatei David is a Senior Vice President and software engineer with 16 years of experience building low-latency, production-grade systems and research-grade bioinformatics tools. He combines a PhD in Computer Science with hands-on expertise in algorithms, probabilistic modeling, and mathematical modelling to bridge academic research and financial engineering. At Citi he architects Java and Chronicle-based trading platforms for sub-millisecond performance, while his prior work led major bioinformatics projects—he was lead developer of the SHRiMP2 read mapper and contributed signal-level modeling improvements to the widely used nanopolish toolkit for nanopore data. Matei’s rare blend of deep algorithmic thinking and pragmatic back-end engineering enables him to optimize both scientific analyses and high-throughput trading infrastructure.
16 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Toronto
English, French
Stackoverflow
2,332reputation
195kreached
35answers
18questions
Github Skills (19)
c-language10
cplus10
bioinformatics10
cpp10
cprogramming-language10
data-structure9
algorithm9
algorithms9
data-structures9
shell6
dynamic-linking6
ld6
shared-libraries6
glibc6
linux6
Programming languages (8)
Github contributions (5)
jts/nanopolish
Jul 2015 - May 2017
Signal-level algorithms for MinION data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:82 commits, 17 PRs, 14 comments in 1 year 10 months
Contributions summary:Matei primarily contributed to the development of the `nanopolish` tool by implementing new features and optimizing existing ones. Their work included adding an option to print read names instead of indices and adding functionality to include event standard deviation values in the output. Further contributions involved enhancing the pore model, specifically by adding precomputed values and incorporating inverse Gaussian modeling of the standard deviation, including adding the required cl option. These changes suggest a focus on improving the analysis capabilities and data output of the tool.
signalpythonsciencegenome-assemblyc-plus-plus
compbio-UofT/shrimp
Sep 2009 - May 2016
Contributions:357 commits, 1 branch in 6 years 8 months
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